Utility of Using Acoustic Impedance Data in the Stochastic Modeling of a Carbonate Reservoir

Identification and modeling of the carbonate tidal channels is key for finding sweet spots or areas at higher risk to water breakthroughs which have a significant impact on the development and monitoring of reservoir dynamic performance. However, such these channels cannot be easily characterize by conventional seismic attributes. It is important to decipher the complexity of carbonate tidal channel architecture with integrated multisource data and different approaches.A step wise approach has been taken in this work. First, rock physics model was carried out to ensure that elastic properties can be applied for reservoir characterization from the seismic data. Then, post-stack seismic inversion was carried out on the high resolution of 3D seismic dataset. The seismically derived porosity estimation is undertaken using geostatistical method and multiattributes combination was used. Probabilistic neural network training technique was then performed to improve the results for thick reservoir and the result has been used for seismic conditioning of geological models. Finally, the spatial distribution of porosity volume was cautiously assessed through the comparison between input and blind wells, also validated by core data.The analysis of rock physics displayed a high correlation between elastic properties and the porosity distribution of the Mishrif channel, three facies were observed. The final interpretation of seismically derived characterization in Mishrif channel, observed a different lateral distribution of inverted elastic properties. These features of Mishrif carbonate tidal channels could be classified into these regions: north, southwest, and east. Related a high porosity with low acoustic impedance appeared mostly in these channels which reflect a good reservoir quality grainstone channels or sholas bodies. While, outside these channels is heavily mud filled by peritidal carbonates and characterized a high acoustic impedance anomaly with low quality of porosity distribution.The results provided a new insight into the distribution of the petrophysical properties and reservoir architecture of facies with quantification of their influence on dynamic reservoir behavior in the Mishrif channelized systems and also for similar heterogeneous carbonate reservoirs

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Improving Porosity–Velocity Relationships Using Carbonate Pore Types

Journal of Computational Acoustics ◽

10.1142/s0218396x15400068 ◽

2015 ◽

Vol 23 (04) ◽

pp. 1540006 ◽

Cited By ~ 6

Author(s):

Tingting Zhang ◽

Yuefeng Sun ◽

Qifeng Dou ◽

Hanrong Zhang ◽

Tonglou Guo ◽

...

Keyword(s):

Pore Structure ◽

Acoustic Impedance ◽

Carbonate Rocks ◽

Seismic Inversion ◽

Carbonate Reservoir ◽

Reservoir Rocks ◽

Fluid Content ◽

Fracture Fluid ◽

Poroelastic Model ◽

Pore Types

Acoustic impedance in carbonates is influenced by factors such as porosity, pore structure/fracture, fluid content, and lithology. Occurrence of moldic and vuggy pores, fractures and other pore structures due to diagenesis in carbonate rocks can greatly complicate the relationships between impedance and porosity. Using a frame flexibility factor ([Formula: see text]) derived from a poroelastic model to characterize pore structure in reservoir rocks, we find that its product with porosity can result in a much better correlation with sonic velocity ([Formula: see text] = [Formula: see text]) and acoustic impedance ([Formula: see text] = [Formula: see text], where A, B, C and D is 6.60, 0.03, 18.3 and 0.09, respectively for the deep low-porosity carbonate reservoir studied in this paper. These new relationships can also be useful in improving seismic inversion of ultra-deep hydrocarbon reservoirs in other similar environments.

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A rocky marriage: Carbonate reservoir quality prediction by combining 3D seismic acoustic impedance and diagenetic facies maps in Ghawar Field

10.1190/1.1845130 ◽

2004 ◽

Author(s):

Shiv N. Dasgupta ◽

Rami A. Kamal

Keyword(s):

Acoustic Impedance ◽

Carbonate Reservoir ◽

Reservoir Quality ◽

Quality Prediction ◽

3D Seismic ◽

Diagenetic Facies ◽

Ghawar Field

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Uses, abuses, and examples of seismic-derived acoustic impedance data: What does the interpreter need to know?

10.1190/sbgf2007-084 ◽

2007 ◽

Author(s):

Rebecca Latimer*

Keyword(s):

Acoustic Impedance ◽

Impedance Data

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Pore Type and Porosity Distribution of Carbonate Reservoir Based on 3D Seismic Inversion in “P” Field Salawati Basin

E3S Web of Conferences ◽

10.1051/e3sconf/201912515002 ◽

2019 ◽

Vol 125 ◽

pp. 15002

Author(s):

Avishena Prananda ◽

Mohammad Syamsu Rosid ◽

Robet Wahyu Widodo

Keyword(s):

Acoustic Impedance ◽

Carbonate Rock ◽

Sedimentary Rock ◽

Seismic Inversion ◽

Carbonate Reservoir ◽

High Porosity ◽

3D Seismic ◽

Impedance Distribution ◽

Pore Types ◽

Type Classification

Overall, carbonate rock has complex and more heterogeneous physical characteristic, compared to siliciclastic sedimentary rock. One parameter, which distinguishes carbonate rock and siliciclastic is pore structure/pore type. The heterogeneity and complexity of carbonate reservoir pore type are affected by the sedimentation process and the diagenesis process. Pore type classification is divided into three: interparticle, stiff, and crack. Therefore, carbonate pore type determination becomes important to enhance drilling success. This paper explains pore types prediction, porosity, and acoustic impedance on carbonate reservoir. The Differential Effective Medium (DEM) method to analyze carbonate reservoir pore type has been applied. DEM method generates bulk and shear modulus parameters to create carbonate Vp and Vs model based on pore type. We also do a 3D seismic inversion to create acoustic impedance distribution, porosity, and pore type. Afterward, we made cube porosity and pore type cube by using geostatistics method to provide a better result. Moreover, this study shows low impedance value correlates with high porosity value and enhancement of porosity value correlates with crack and interparticle pore type on “P” field, Salawati Basin.

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